Moose

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Pascal Lupien | Morale : 75 | Team Overall : 61

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# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Dalibor DvorskyX100.006939886779858668736165646961638675640
2Logan MorrisonX100.006138876570858662676463616564664375630
3Adam SykoraX100.006837916271828759615865635962646875620
4Graeme ClarkeXX100.006039816469948463586261606365676275620
5Jared DavidsonX100.006739736069818558615760576264665675600
6Ben KingX100.007443735683717554615557585464665975590
7Zac FunkX100.006741735676796354585553575263654475580
8Henry ThrunX100.007243826683848264306856695165675975640
9Jaycob MegnaX100.008172876095808657305452694674762675630
10Scott MorrowX100.006943726682858465306857615364667375630
11Colton WhiteX100.006940786375778157306952564669715175610
Scratches
1Luca Del Bel BelluzX100.006337956874848766706764626864657375650
2Anthony RichardXX100.006038836867858366636562616470724975640
3Brian HalonenX100.006940796276828459555664586267693775620
4Aydar Suniev (R)X100.006838936280788459535860566163646675610
5Brayden Yager (R)X100.005736955968798758605755625961638475600
6Tanner Howe (R)X100.006143626068776958635961576261637475590
7Colby Barlow (R)X100.006337925872757156515355525861638375580
8Kenta Isogai (R)X100.005936955669687054525355575662644475580
9Rasmus Kumpulainen (R)X100.007039845579697854585352565461637175580
10Fabian Wagner (R)XX100.005536935664717454515355525662644975570
11Atro Leppanen (R)X100.006238836471788063306658625368703675630
12Dmitri Simashev (R)X100.007342756686838563306556624961638875630
13Theo Lindstein (R)X100.006437906474818963306162605261627975620
14Ian MitchellX100.006337936273828361306353594867695975610
15Christian KyrouX100.005736946466707759306256554863657175600
16Cole ClaytonX100.007341795782648455305652584566684275590
TEAM AVERAGE100.00664084627579816049605859566466607561
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Aleksei Kolosov100.00758581767473757473757464716375640
Scratches
1Hampton Slukynsky (R)100.00787168737776787776787761656075660
2Cameron Whitehead (R)100.00647470776362646362646365695775580
TEAM AVERAGE100.0072777375717072717072716368607563
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam SykoraLW222004-09-07No193 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Aleksei KolosovG242002-01-04No185 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Anthony RichardC/LW301996-12-20No185 Lbs5 ft10NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Atro LeppanenD281998-12-14Yes183 Lbs6 ft0NoNoNo3UFAPro & Farm925,000$0$0$NoLink / NHL Link
Aydar SunievLW222004-11-16Yes198 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ben KingC242002-05-15No200 Lbs6 ft3NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Brayden YagerC212005-01-03Yes180 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Brian HalonenLW271999-01-11No207 Lbs6 ft0NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Cameron WhiteheadG232003-06-13Yes170 Lbs6 ft3NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Christian KyrouD232003-09-16No166 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Colby BarlowRW212005-02-14Yes190 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cole ClaytonD262000-02-29No209 Lbs6 ft2NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Colton WhiteD291997-05-03No187 Lbs6 ft1NoNoNo1UFAPro & Farm850,000$0$0$NoLink / NHL Link
Dalibor DvorskyC212005-06-15No207 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Dmitri SimashevD212005-02-04Yes198 Lbs6 ft4NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Fabian WagnerC/RW222004-05-07Yes170 Lbs5 ft10NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Graeme ClarkeC/RW252001-04-24No175 Lbs6 ft0NoNoNo1RFAPro & Farm960,000$0$0$NoLink / NHL Link
Hampton SlukynskyG212005-07-02Yes179 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Henry ThrunD252001-03-12No211 Lbs6 ft2NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ian MitchellD271999-01-18No192 Lbs6 ft0NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Jared DavidsonC242002-07-07No183 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jaycob MegnaD341992-12-10No214 Lbs6 ft6NoNoNo2UFAPro & Farm3,125,000$0$0$NoLink / NHL Link
Kenta IsogaiLW222004-08-28Yes177 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Logan MorrisonC242002-07-09No179 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Luca Del Bel BelluzC232003-11-10No185 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Rasmus KumpulainenC212005-08-08Yes191 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Scott MorrowD242002-11-01No210 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Tanner HoweLW212005-11-28Yes183 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Theo LindsteinD212005-01-05Yes197 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Zac FunkRW232003-07-20No210 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3023.97190 Lbs6 ft11.73873,667$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ben KingGraeme Clarke40122
2Adam SykoraLogan MorrisonZac Funk30122
3Dalibor Dvorsky20122
4Ben KingLogan Morrison10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Henry ThrunJaycob Megna40122
2Scott Morrow30122
320122
4Henry ThrunJaycob Megna10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ben KingGraeme Clarke60122
2Adam SykoraLogan MorrisonZac Funk40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Henry ThrunJaycob Megna60122
2Scott Morrow40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Logan Morrison60122
2Dalibor Dvorsky40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Henry ThrunJaycob Megna60122
2Scott Morrow40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Henry ThrunJaycob Megna60122
2Logan Morrison40122Scott Morrow40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ben KingLogan Morrison60122
2Dalibor Dvorsky40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Henry ThrunJaycob Megna60122
2Scott Morrow40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Graeme ClarkeHenry ThrunJaycob Megna
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Graeme ClarkeHenry ThrunJaycob Megna
Extra Forwards
Normal PowerPlayPenalty Kill
, Jared Davidson, Ben King, Jared DavidsonBen King
Extra Defensemen
Normal PowerPlayPenalty Kill
, Henry Thrun, Scott MorrowJaycob Megna, Scott Morrow
Penalty Shots
Graeme Clarke, Logan Morrison, Dalibor Dvorsky, , Ben King
Goalie
#1 : Aleksei Kolosov, #2 :


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4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price5030
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,621,000$ 2,621,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
202056192903221174210-36288170111078108-302811120211196102-65117431148510069495119310642633639204554940913541804323.89%1904476.84%61039205650.54%1043210949.45%43892747.25%12898721360420732360
202182244404433244291-4741142300202123138-1541102104231121153-326924445369701090836425510834836851281980874419602544919.29%3336779.88%51403278750.34%1484303748.86%654132449.40%1896128520016241066522
20228242320340126824523412315012001371162141191702201131129295268483751280109867027160900888913283582578420163107524.19%3417578.01%31570304051.64%1618315351.32%691128653.73%1915129019676201060523
202383323606432276290-14411914031221511381342132203310125152-278827649276821093957926930910848911277782767318483057123.28%2955282.37%61476291650.62%1512294951.27%748140853.13%1915129820186321093538
202482274106233212256-444117170302212112014110240321191136-457721238359522060796421380664721718235071666118692384619.33%2736675.82%21260253249.76%1332272948.81%593123747.94%1940133619746041050521
2025823337054122212192411916022111211021941142103201100117-178422141263313090646122850744754766223565550018632745218.98%2173782.95%21299267448.58%1255253849.45%605122549.39%2000138719045951050532
Total Regular Season46717721902720121213951511-1162331001020108677317229234771170171265664789-1254641395253439298150511456389143140469446804798150614380377110910156133621.52%164934179.32%2480471600550.28%82441651549.92%3729740750.34%10957747111226349760532998
Playoff
2022734000002527-2321000001612441300000915-66254873000104102400827087273725616633721.21%25772.00%014525457.09%12627046.67%6311654.31%162112169538743
Total Playoff734000002527-2321000001612441300000915-66254873000104102400827087273725616633721.21%25772.00%014525457.09%12627046.67%6311654.31%162112169538743